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Required Data Platform Team Lead
About the Role:
The company is a top player in its game and is heading for an exciting year.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader for Data Platform, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure..

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work;
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration:
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

We are seeking a highly motivated NOC Engineer to join our support team in Israel.
In this role, you will monitor and maintain critical systems and environments, respond to Real-Time incidents, and support a wide range of technologies.
This position is ideal for a Computer Science student in the final year of studies who is eager to gain hands-on experience in a dynamic, 24/7 environment.

We are seeking a skilled and experienced Senior Frontend Infrastructure Engineer to join our Core Team. As a member of this team, your main responsibility will be crafting and evolving the frontend infrastructure of our product. You will focus on building resilient, scalable frontend frameworks, tools, and libraries that empower and support our React-based application and the teams building on top of it.
Responsibilities:
Design, develop, and maintain frontend infrastructure, including frameworks, tools, and libraries, to ensure high performance, scalability, and long-term maintainability.
Work closely with product and R&D teams to understand requirements, influence technical decisions, and ensure infrastructure solutions align with real product needs.
Serve as a senior technical authority in the frontend domain, leading by example through high-quality architecture, code, and best practices.
Identify and implement improvements to the frontend development experience, including automation, developer tooling, code reuse, and performance optimizations.
Take part in architectural discussions and help shape frontend standards and conventions across the organization.
Stay up-to-date with modern frontend technologies, trends, and best practices, and apply them pragmatically to improve development efficiency and product quality.
Conduct code reviews with a strong focus on maintainability, performance, and scalability.
Troubleshoot and resolve complex frontend infrastructure issues in collaboration with other engineers and infrastructure teams.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad.

We are looking for an experienced manual QA Engineer to drive our test efforts and test executions as part of a product team.
What you'll be doing:
Be a product expert and a focal point for your team business.
Executing and owning full QA cycles of new features releases.
Own the bug/s life cycle and issues handling by the team.
Work closely with developers and product managers.
Write detailed test plans and cases.
Validate that new software releases are meeting the highest quality standards.

We are looking for a driven, tech-savvy, Technical CSM to join our team. In this role, you will provide professional services for our clients.
You will set up our features based on their processes, help integrate us with other platforms, and migrate data from other platforms into us. You will collaborate closely with CS and R&D teams to develop expertise and provide top-notch service, streamlining customer processes, onboarding and saving them valuable time
Responsibilities:
Meet with clients daily to provide the above services.
Work offline for clients to complete work given by them.
Build and maintain strong relationships with customers to understand their needs and provide tailored solutions.
Manage multiple tasks in a fast-paced and high-pressure environment.
Collaborate with CS and R&D teams to ensure a seamless customer experience.

We are seeking a passionate Product Manager with experience in building web and mobile products in an agile software development environment.
Our ideal candidate lives and breathes product, loves technology, and is addicted to building tools with great user experience.
You will work directly with our product teams in order to deliver a great product while keeping its core values: easy-to-use, fun, and intuitive.
What you'll be doing:
Define the roadmap and product vision.
Manage the full product cycle of new products.
Research and analyze users needs and competitors.
Define user flows and sketch wireframes.
Work closely with our product teams, Product Designers, Analyst, and Developers all the way to production.

Were looking for a skilled Product Designer to join our growing design team and play a vital role in shaping exceptional mobile and web experiences. This is an exciting opportunity for a talented designer passionate about user-centered design to work on meaningful, high-impact projects that improve the daily lives of millions of users globally.
As a Product Designer, youll collaborate with Product Managers, Developers, and other stakeholders to ensure the user experience remains intuitive, delightful, and innovative across all touchpoints.
What you'll be doing:
Design end-to-end solutions for complex workflows and features on both mobile and web platforms.
Collaborate with cross-functional teams, including Product Managers, Developers, and Marketing, to deliver seamless and engaging user experiences.
Lead all stages of the design process, including user research, wireframing, prototyping, visual design, and usability testing.
Work closely with the team to maintain and evolve our design systems, ensuring consistency across all platforms.
Advocate for user-centered design principles and champion UX best practices in every project.
Analyze user data and feedback to iterate and improve designs for maximum impact.
Contribute to fostering a strong design culture within the company through idea-sharing, feedback, and collaboration.

This role oversees security governance, risk management, compliance, and incident readiness, while working closely with engineering, product, legal, MIS and other teams to embed security across the organisation and support customer trust and business growth.
Key Responsibilities
Develop and maintain the companys information security strategy, policies, and long-term roadmap. Both for production environments and for internal business by overseeing security of enterprise systems.
Lead security risk assessments, mitigation planning, and ongoing security monitoring.
Lead incident response planning, preparedness, and execution.
Manage security governance, including controls, documentation, and audit readiness.
Ensure compliance with relevant standards and regulations such as SOC 2, ISO 27001, GDPR, and emerging AI frameworks.
Direct security architecture reviews and support secure development practices across product and engineering teams.
Ensure security is integrated into engineering culture and delivery without hindering velocity, while aligning platform security with engineering practices and production resiliency requirements.
Oversee vendor security, penetration testing, and third-party risk management.
Serve as the primary security contact for customers, partners, auditors, and regulators, and own the security aspects of the companys products, in alignment with business and customers needs.
Provide regular updates to executive leadership on security posture, risks, and priorities.

This role sits at the technical and commercial center of that motion: delivering partner integration experiences that both delight customers and create measurable revenue impact.

Top priorities:
Working closely with customers and partners to understand how Cloudinary is used when integrated in customer technology stacks.
Executing on Cloudinarys strategic vision - to become ubiquitous as a media platform, for multiple personas in any technology stack that touches media.
Act as the technical PM for ISV activity - lead integrations for selected CMS, PIM and MarTech vendors.
Work closely with partners and customers to define integration scope, success criteria and adoption plans.
Partner tightly with Product Management platform teams, to represent integrability requirements - act as an internal customer for platform enhancements that serve the integrability needs, and bring PM ownership into Product where needed.
Define and oversee successful development of integrations - choose and run the delivery model (internal, outsourced vendors, or agentic/automated approaches), and be accountable for delivery, reliability and time-to-value - teaming up with Program management, and ecosystem Architecture, for technical oversight.

Were looking for a Lead Product Manager (DAM) with a strong SaaS background and a practical passion for AI. Youll own major parts of our DAM experience and platform, helping customers move faster from content creation to activation, with higher adoption and measurable business impact.

In this role, youll lead end-to-end initiatives across the DAM lifecycle: ingestion, collaboration and approvals, content lifecycle workflow, secure sharing, and external content activation. Youll also collaborate with adjacent teams on metadata/search and integrations where needed.
Responsibilities
Own a significant product area within DAM: define the strategy, roadmap, success metrics, and execution plan - from discovery to GA and adoption.
Translate customer problems and business goals into crisp product bets: PRDs, user journeys, edge cases, phased delivery plans, and clear what good looks like.
Drive customer obsession at scale: lead discovery with design partners, validate problems, run pilots, and turn learnings into roadmap decisions and shipped outcomes.
Partner tightly with Engineering, Design, Data/Analytics, and Technical Writing to deliver high-quality experiences with strong UX, reliability, and performance.
Work cross-functionally with Sales, Solutions, Support, Customer Success, and Marketing to support launches, competitive differentiation, expansion, and adoption - and actively participate in strategic sales cycles (discovery, solution shaping, exec alignment) to help close key deals.
Evaluate and manage third-party/partner capabilities where needed (including white-label components), balancing build vs. buy, cost, time-to-value, and long-term maintainability.
Develop a deep understanding of DAM personas and workflows (creatives, marketers, brand teams, operations, agencies, IT/security), and design for real day-to-day constraints.
Build industry-leading AI agents and agentic experiences that measurably improve customer ROI and reduce content time-to-market (TTM).
Use AI thoughtfully to improve outcomes (e.g., approvals, workflow, activation), with a strong bar for trust, quality, and safety.
Work closely with adjacent product teams to align on shared workflows and platform dependencies - without owning their roadmaps.

We are seeking an R&D Lead to lead the development for Agentic Commerce, a brand new product. The product focuses on owning the visual and semantic layer that AI agents rely on to understand, rank, and present products. We are a small, fast-moving, and highly independent team with full end-to-end ownership. The opportunity ahead is large: the front door of commerce is shifting from websites to AI agents, and merchants must adapt to be discovered, selected, and converted inside agent-driven experiences.
Responsibilities
Lead and be accountable for all development efforts, with a co-founder / CTO-level mindset
Co-lead the pod alongside the GM as a true counterpart
Build a deep understanding of how AI agents consume product data, media, and signals, and how merchants win selection and conversion in this new paradigm
Starting as a solo developer, you will be responsible for designing and shipping an AI-native product, growing a team when needed
Leverage platform to get to market quickly, building only what meaningfully advances learning and traction
Continuously adjust technical direction as agent behaviors, protocols, and market assumptions evolve